b'Yu Yang'

research

∙ 09/06/2023

Feasibility of Local Trajectory Planning for Level-2+ Semi-autonomous Driving without Absolute Localization

Autonomous driving has long grappled with the need for precise absolute ...

0 Sheng Zhu, et al. ∙

research

∙ 08/09/2023

Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation

Multi-behavior recommendation algorithms aim to leverage the multiplex i...

0 Chang Meng, et al. ∙

research

∙ 06/27/2023

SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion

Semantic scene completion (SSC) jointly predicts the semantics and geome...

0 Jianbiao Mei, et al. ∙

research

∙ 06/27/2023

PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation

Reliable LiDAR panoptic segmentation (LPS), including both semantic and ...

0 Jianbiao Mei, et al. ∙

research

∙ 06/21/2023

Towards Mitigating Spurious Correlations in the Wild: A Benchmark a more Realistic Dataset

Deep neural networks often exploit non-predictive features that are spur...

0 Siddharth Joshi, et al. ∙

research

∙ 06/08/2023

Robust Learning with Progressive Data Expansion Against Spurious Correlation

While deep learning models have shown remarkable performance in various ...

4 Yihe Deng, et al. ∙

research

∙ 06/02/2023

Towards Sustainable Learning: Coresets for Data-efficient Deep Learning

To improve the efficiency and sustainability of learning deep models, we...

0 Yu Yang, et al. ∙

research

∙ 05/30/2023

Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias

Neural networks trained with (stochastic) gradient descent have an induc...

0 Yu Yang, et al. ∙

research

∙ 05/23/2023

Eliminating Spurious Correlations from Pre-trained Models via Data Mixing

Machine learning models pre-trained on large datasets have achieved rema...

0 Yihao Xue, et al. ∙

research

∙ 03/15/2023

On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem

In practical engineering experiments, the data obtained through detector...

0 Yu Yang, et al. ∙

research

∙ 03/06/2023

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

Multimodal contrastive pretraining has been used to train multimodal rep...

0 Hritik Bansal, et al. ∙

research

∙ 12/20/2022

Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds

Reliable and automated 3D plant shoot segmentation is a core prerequisit...

0 Liyi Luo, et al. ∙

research

∙ 11/27/2022

Machine Learning for Smart and Energy-Efficient Buildings

Energy consumption in buildings, both residential and commercial, accoun...

0 Hari Prasanna Das, et al. ∙

research

∙ 11/25/2022

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation

Unsupervised foreground-background segmentation aims at extracting salie...

0 Qiran Zou, et al. ∙

research

∙ 11/06/2022

Learning to Annotate Part Segmentation with Gradient Matching

The success of state-of-the-art deep neural networks heavily relies on t...

0 Yu Yang, et al. ∙

research

∙ 11/06/2022

Distilling Representations from GAN Generator via Squeeze and Span

In recent years, generative adversarial networks (GANs) have been an act...

0 Yu Yang, et al. ∙

research

∙ 11/05/2022

Local Manifold Augmentation for Multiview Semantic Consistency

Multiview self-supervised representation learning roots in exploring sem...

0 Yu Yang, et al. ∙

research

∙ 10/18/2022

Not All Poisons are Created Equal: Robust Training against Data Poisoning

Data poisoning causes misclassification of test time target examples by ...

0 Yu Yang, et al. ∙

research

∙ 10/06/2022

A correlated pseudo-marginal approach to doubly intractable problems

Doubly intractable models are encountered in a number of fields, e.g. so...

0 Yu Yang, et al. ∙

research

∙ 09/22/2022

Neural Networks Base on Power Method and Inverse Power Method for Solving Linear Eigenvalue Problems

In this article, we propose three kinds of neural networks inspired by p...

15 Qihong Yang, et al. ∙

research

∙ 09/19/2022

Sequence-to-Set Generative Models

In this paper, we propose a sequence-to-set method that can transform an...

0 Longtao Tang, et al. ∙

research

∙ 08/18/2022

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization

Maximizing a monotone submodular function is a fundamental task in machi...

0 Qixin Zhang, et al. ∙

research

∙ 08/16/2022

Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback

In this paper, we revisit the online non-monotone continuous DR-submodul...

0 Qixin Zhang, et al. ∙

research

∙ 08/14/2022

Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks

A powerful category of data poisoning attacks modify a subset of trainin...

0 Tian Yu Liu, et al. ∙

research

∙ 08/07/2022

A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features

By coordinating terminal smart devices or microprocessors to engage in c...

0 Yu Yang, et al. ∙

research

∙ 07/15/2022

Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification

Deep learning-based melanoma classification with dermoscopic images has ...

0 Chenghui Yu, et al. ∙

research

∙ 07/01/2022

Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution

Dynamic graphs refer to graphs whose structure dynamically changes over ...

0 Yu Yang, et al. ∙

research

∙ 06/16/2022

Vesyla-II: An Algorithm Library Development Tool for Synchoros VLSI Design Style

High-level synthesis (HLS) has been researched for decades and is still ...

0 Yu Yang, et al. ∙

research

∙ 05/04/2022

Proximal ADMM for Nonconvex and Nonsmooth Optimization

By enabling the nodes or agents to solve small-sized subproblems to achi...

0 Yu Yang, et al. ∙

research

∙ 05/04/2022

Optimal Network Charge for Peer-to-Peer Energy Trading: A Grid Perspective

Peer-to-peer (P2P) energy trading is a promising market scheme to accomm...

0 Yu Yang, et al. ∙

research

∙ 04/10/2022

Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention

Interpretability is an important property for visual models as it helps ...

0 Yu Yang, et al. ∙

research

∙ 02/13/2022

Feature Construction and Selection for PV Solar Power Modeling

Using solar power in the process industry can reduce greenhouse gas emis...

0 Yu Yang, et al. ∙

research

∙ 01/24/2022

Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN

The semantically disentangled latent subspace in GAN provides rich inter...

9 Bo Li, et al. ∙

research

∙ 01/03/2022

Continuous Submodular Maximization: Boosting via Non-oblivious Function

In this paper, we revisit the constrained and stochastic continuous subm...

0 Qixin Zhang, et al. ∙

research

∙ 12/21/2021

Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients

It is vital to accurately estimate the value function in Deep Reinforcem...

0 Jiafei Lyu, et al. ∙

research

∙ 12/20/2021

Comprehensive Performance Evaluation of LID Practices for the Sponge City Construction: A Case Study in Guangxi, China

Sponge city construction is a new concept of urban stormwater management...

0 Li Qian, et al. ∙

research

∙ 07/13/2021

Learnability of Learning Performance and Its Application to Data Valuation

For most machine learning (ML) tasks, evaluating learning performance on...

1 Tianhao Wang, et al. ∙

research

∙ 06/30/2021

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications

Data-driven approaches have been applied to many problems in urban compu...

0 Xu Geng, et al. ∙

research

∙ 06/04/2021

Language Scaling for Universal Suggested Replies Model

We consider the problem of scaling automated suggested replies for Outlo...

0 Qianlan Ying, et al. ∙

research

∙ 05/20/2021

Three-body problem – from Newton to supercomputer plus machine learning

The famous three-body problem can be traced back to Newton in 1687, but ...

0 Shijun Liao, et al. ∙

research

∙ 04/22/2021

A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization

This paper concerns a convex, stochastic zeroth-order optimization (S-ZO...

0 Hongcheng Liu, et al. ∙

research

∙ 04/01/2021

Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs

We propose an unsupervised foreground-background segmentation method via...

0 Yu Yang, et al. ∙

research

∙ 03/20/2021

Greenplum: A Hybrid Database for Transactional and Analytical Workloads

Demand for enterprise data warehouse solutions to support real-time Onli...

0 Zhenghua Lyu, et al. ∙

research

∙ 02/25/2021

Bias-reduced multi-step hindsight experience replay

Multi-goal reinforcement learning is widely used in planning and robot m...

1 Rui Yang, et al. ∙

research

∙ 12/29/2020

Selling Renewable Utilization Service to Consumers via Cloud Energy Storage

This paper proposes a cloud energy storage (CES) model for enabling loca...

0 Yu Yang, et al. ∙

research

∙ 11/01/2020

Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test

The Kolmogorov-Smirnov (KS) test is popularly used in many applications,...

0 Zicun Cong, et al. ∙

research

∙ 10/29/2020

Optimal Sharing and and Fair Cost Allocation of Community Energy Storage

This paper studies an optimal energy storage (ES) sharing model which is...

0 Yu Yang, et al. ∙

research

∙ 06/06/2020

EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors

Early prediction of students at risk (STAR) is an effective and signific...

0 Yu Yang, et al. ∙

research

∙ 01/03/2020

A Proximal Linearization-based Decentralized Method for Nonconvex Problems with Nonlinear Constraints

Decentralized optimization for non-convex problems are now demanding by ...

0 Yu Yang, et al. ∙

research

∙ 11/03/2019

eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex

The Artificial Neural Networks (ANNs) like CNN/DNN and LSTM are not biol...

0 Dimitrios Stathis, et al. ∙

Yu Yang

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